Add support for Stretch (hello-robot) (#409)
Co-authored-by: Remi <remi.cadene@huggingface.co> Co-authored-by: Remi Cadene <re.cadene@gmail.com>
This commit is contained in:
@@ -10,6 +10,7 @@ import shutil
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import threading
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import time
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import traceback
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from collections import Counter
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from dataclasses import dataclass, replace
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from pathlib import Path
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from threading import Thread
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@@ -27,47 +28,49 @@ from lerobot.scripts.control_robot import busy_wait
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SERIAL_NUMBER_INDEX = 1
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def find_camera_indices(raise_when_empty=True, mock=False) -> list[int]:
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def find_cameras(raise_when_empty=True, mock=False) -> list[dict]:
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"""
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Find the serial numbers of the Intel RealSense cameras
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Find the names and the serial numbers of the Intel RealSense cameras
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connected to the computer.
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"""
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if mock:
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from tests.mock_pyrealsense2 import (
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RSCameraInfo,
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RSContext,
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)
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import tests.mock_pyrealsense2 as rs
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else:
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from pyrealsense2 import camera_info as RSCameraInfo # noqa: N812
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from pyrealsense2 import context as RSContext # noqa: N812
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import pyrealsense2 as rs
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camera_ids = []
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for device in RSContext().query_devices():
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serial_number = int(device.get_info(RSCameraInfo(SERIAL_NUMBER_INDEX)))
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camera_ids.append(serial_number)
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cameras = []
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for device in rs.context().query_devices():
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serial_number = int(device.get_info(rs.camera_info(SERIAL_NUMBER_INDEX)))
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name = device.get_info(rs.camera_info.name)
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cameras.append(
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{
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"serial_number": serial_number,
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"name": name,
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}
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)
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if raise_when_empty and len(camera_ids) == 0:
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if raise_when_empty and len(cameras) == 0:
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raise OSError(
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"Not a single camera was detected. Try re-plugging, or re-installing `librealsense` and its python wrapper `pyrealsense2`, or updating the firmware."
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)
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return camera_ids
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return cameras
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def save_image(img_array, camera_idx, frame_index, images_dir):
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def save_image(img_array, serial_number, frame_index, images_dir):
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try:
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img = Image.fromarray(img_array)
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path = images_dir / f"camera_{camera_idx}_frame_{frame_index:06d}.png"
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path = images_dir / f"camera_{serial_number}_frame_{frame_index:06d}.png"
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path.parent.mkdir(parents=True, exist_ok=True)
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img.save(str(path), quality=100)
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logging.info(f"Saved image: {path}")
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except Exception as e:
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logging.error(f"Failed to save image for camera {camera_idx} frame {frame_index}: {e}")
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logging.error(f"Failed to save image for camera {serial_number} frame {frame_index}: {e}")
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def save_images_from_cameras(
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images_dir: Path,
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camera_ids: list[int] | None = None,
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serial_numbers: list[int] | None = None,
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fps=None,
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width=None,
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height=None,
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@@ -76,23 +79,25 @@ def save_images_from_cameras(
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):
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"""
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Initializes all the cameras and saves images to the directory. Useful to visually identify the camera
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associated to a given camera index.
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associated to a given serial number.
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"""
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if camera_ids is None:
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camera_ids = find_camera_indices(mock=mock)
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if serial_numbers is None or len(serial_numbers) == 0:
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camera_infos = find_cameras(mock=mock)
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serial_numbers = [cam["serial_number"] for cam in camera_infos]
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if mock:
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from tests.mock_cv2 import COLOR_RGB2BGR, cvtColor
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import tests.mock_cv2 as cv2
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else:
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from cv2 import COLOR_RGB2BGR, cvtColor
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import cv2
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print("Connecting cameras")
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cameras = []
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for cam_idx in camera_ids:
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camera = IntelRealSenseCamera(cam_idx, fps=fps, width=width, height=height, mock=mock)
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for cam_sn in serial_numbers:
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print(f"{cam_sn=}")
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camera = IntelRealSenseCamera(cam_sn, fps=fps, width=width, height=height, mock=mock)
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camera.connect()
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print(
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f"IntelRealSenseCamera({camera.camera_index}, fps={camera.fps}, width={camera.width}, height={camera.height}, color_mode={camera.color_mode})"
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f"IntelRealSenseCamera({camera.serial_number}, fps={camera.fps}, width={camera.width}, height={camera.height}, color_mode={camera.color_mode})"
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)
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cameras.append(camera)
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@@ -107,7 +112,7 @@ def save_images_from_cameras(
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frame_index = 0
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start_time = time.perf_counter()
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try:
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with concurrent.futures.ThreadPoolExecutor(max_workers=4) as executor:
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with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
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while True:
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now = time.perf_counter()
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@@ -118,12 +123,12 @@ def save_images_from_cameras(
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if image is None:
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print("No Frame")
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bgr_converted_image = cvtColor(image, COLOR_RGB2BGR)
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bgr_converted_image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
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executor.submit(
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save_image,
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bgr_converted_image,
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camera.camera_index,
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camera.serial_number,
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frame_index,
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images_dir,
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)
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@@ -155,6 +160,7 @@ class IntelRealSenseCameraConfig:
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IntelRealSenseCameraConfig(90, 640, 480)
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IntelRealSenseCameraConfig(30, 1280, 720)
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IntelRealSenseCameraConfig(30, 640, 480, use_depth=True)
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IntelRealSenseCameraConfig(30, 640, 480, rotation=90)
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```
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"""
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@@ -164,6 +170,7 @@ class IntelRealSenseCameraConfig:
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color_mode: str = "rgb"
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use_depth: bool = False
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force_hardware_reset: bool = True
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rotation: int | None = None
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mock: bool = False
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def __post_init__(self):
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@@ -180,13 +187,15 @@ class IntelRealSenseCameraConfig:
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f"but {self.fps=}, {self.width=}, {self.height=} were provided."
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)
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if self.rotation not in [-90, None, 90, 180]:
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raise ValueError(f"`rotation` must be in [-90, None, 90, 180] (got {self.rotation})")
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class IntelRealSenseCamera:
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"""
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The IntelRealSenseCamera class is similar to OpenCVCamera class but adds additional features for Intel Real Sense cameras:
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- camera_index corresponds to the serial number of the camera,
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- camera_index won't randomly change as it can be the case of OpenCVCamera for Linux,
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- read is more reliable than OpenCVCamera,
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- is instantiated with the serial number of the camera - won't randomly change as it can be the case of OpenCVCamera for Linux,
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- can also be instantiated with the camera's name — if it's unique — using IntelRealSenseCamera.init_from_name(),
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- depth map can be returned.
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To find the camera indices of your cameras, you can run our utility script that will save a few frames for each camera:
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@@ -199,8 +208,10 @@ class IntelRealSenseCamera:
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Example of usage:
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```python
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camera_index = 128422271347
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camera = IntelRealSenseCamera(camera_index)
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# Instantiate with its serial number
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camera = IntelRealSenseCamera(128422271347)
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# Or by its name if it's unique
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camera = IntelRealSenseCamera.init_from_name("Intel RealSense D405")
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camera.connect()
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color_image = camera.read()
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# when done using the camera, consider disconnecting
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@@ -209,19 +220,19 @@ class IntelRealSenseCamera:
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Example of changing default fps, width, height and color_mode:
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```python
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camera = IntelRealSenseCamera(camera_index, fps=30, width=1280, height=720)
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camera = IntelRealSenseCamera(serial_number, fps=30, width=1280, height=720)
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camera = connect() # applies the settings, might error out if these settings are not compatible with the camera
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camera = IntelRealSenseCamera(camera_index, fps=90, width=640, height=480)
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camera = IntelRealSenseCamera(serial_number, fps=90, width=640, height=480)
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camera = connect()
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camera = IntelRealSenseCamera(camera_index, fps=90, width=640, height=480, color_mode="bgr")
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camera = IntelRealSenseCamera(serial_number, fps=90, width=640, height=480, color_mode="bgr")
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camera = connect()
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```
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Example of returning depth:
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```python
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camera = IntelRealSenseCamera(camera_index, use_depth=True)
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camera = IntelRealSenseCamera(serial_number, use_depth=True)
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camera.connect()
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color_image, depth_map = camera.read()
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```
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@@ -229,7 +240,7 @@ class IntelRealSenseCamera:
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def __init__(
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self,
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camera_index: int,
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serial_number: int,
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config: IntelRealSenseCameraConfig | None = None,
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**kwargs,
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):
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@@ -239,7 +250,7 @@ class IntelRealSenseCamera:
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# Overwrite the config arguments using kwargs
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config = replace(config, **kwargs)
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self.camera_index = camera_index
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self.serial_number = serial_number
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self.fps = config.fps
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self.width = config.width
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self.height = config.height
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@@ -256,41 +267,69 @@ class IntelRealSenseCamera:
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self.depth_map = None
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self.logs = {}
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if self.mock:
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import tests.mock_cv2 as cv2
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else:
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import cv2
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# TODO(alibets): Do we keep original width/height or do we define them after rotation?
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self.rotation = None
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if config.rotation == -90:
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self.rotation = cv2.ROTATE_90_COUNTERCLOCKWISE
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elif config.rotation == 90:
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self.rotation = cv2.ROTATE_90_CLOCKWISE
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elif config.rotation == 180:
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self.rotation = cv2.ROTATE_180
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@classmethod
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def init_from_name(cls, name: str, config: IntelRealSenseCameraConfig | None = None, **kwargs):
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camera_infos = find_cameras()
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camera_names = [cam["name"] for cam in camera_infos]
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this_name_count = Counter(camera_names)[name]
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if this_name_count > 1:
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# TODO(aliberts): Test this with multiple identical cameras (Aloha)
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raise ValueError(
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f"Multiple {name} cameras have been detected. Please use their serial number to instantiate them."
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)
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name_to_serial_dict = {cam["name"]: cam["serial_number"] for cam in camera_infos}
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cam_sn = name_to_serial_dict[name]
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if config is None:
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config = IntelRealSenseCameraConfig()
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# Overwrite the config arguments using kwargs
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config = replace(config, **kwargs)
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return cls(serial_number=cam_sn, config=config, **kwargs)
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def connect(self):
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if self.is_connected:
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raise RobotDeviceAlreadyConnectedError(
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f"IntelRealSenseCamera({self.camera_index}) is already connected."
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f"IntelRealSenseCamera({self.serial_number}) is already connected."
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)
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if self.mock:
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from tests.mock_pyrealsense2 import (
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RSConfig,
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RSFormat,
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RSPipeline,
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RSStream,
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)
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import tests.mock_pyrealsense2 as rs
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else:
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from pyrealsense2 import config as RSConfig # noqa: N812
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from pyrealsense2 import format as RSFormat # noqa: N812
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from pyrealsense2 import pipeline as RSPipeline # noqa: N812
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from pyrealsense2 import stream as RSStream # noqa: N812
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import pyrealsense2 as rs
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config = RSConfig()
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config.enable_device(str(self.camera_index))
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config = rs.config()
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config.enable_device(str(self.serial_number))
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if self.fps and self.width and self.height:
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# TODO(rcadene): can we set rgb8 directly?
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config.enable_stream(RSStream.color, self.width, self.height, RSFormat.rgb8, self.fps)
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config.enable_stream(rs.stream.color, self.width, self.height, rs.format.rgb8, self.fps)
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else:
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config.enable_stream(RSStream.color)
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config.enable_stream(rs.stream.color)
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if self.use_depth:
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if self.fps and self.width and self.height:
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config.enable_stream(RSStream.depth, self.width, self.height, RSFormat.z16, self.fps)
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config.enable_stream(rs.stream.depth, self.width, self.height, rs.format.z16, self.fps)
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else:
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config.enable_stream(RSStream.depth)
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config.enable_stream(rs.stream.depth)
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self.camera = RSPipeline()
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self.camera = rs.pipeline()
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try:
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profile = self.camera.start(config)
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is_camera_open = True
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@@ -301,17 +340,18 @@ class IntelRealSenseCamera:
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# If the camera doesn't work, display the camera indices corresponding to
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# valid cameras.
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if not is_camera_open:
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# Verify that the provided `camera_index` is valid before printing the traceback
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available_cam_ids = find_camera_indices()
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if self.camera_index not in available_cam_ids:
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# Verify that the provided `serial_number` is valid before printing the traceback
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camera_infos = find_cameras()
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serial_numbers = [cam["serial_number"] for cam in camera_infos]
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if self.serial_number not in serial_numbers:
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raise ValueError(
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f"`camera_index` is expected to be one of these available cameras {available_cam_ids}, but {self.camera_index} is provided instead. "
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"To find the camera index you should use, run `python lerobot/common/robot_devices/cameras/intelrealsense.py`."
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f"`serial_number` is expected to be one of these available cameras {serial_numbers}, but {self.serial_number} is provided instead. "
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"To find the serial number you should use, run `python lerobot/common/robot_devices/cameras/intelrealsense.py`."
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)
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raise OSError(f"Can't access IntelRealSenseCamera({self.camera_index}).")
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raise OSError(f"Can't access IntelRealSenseCamera({self.serial_number}).")
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color_stream = profile.get_stream(RSStream.color)
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color_stream = profile.get_stream(rs.stream.color)
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color_profile = color_stream.as_video_stream_profile()
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actual_fps = color_profile.fps()
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actual_width = color_profile.width()
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@@ -321,15 +361,15 @@ class IntelRealSenseCamera:
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if self.fps is not None and not math.isclose(self.fps, actual_fps, rel_tol=1e-3):
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# Using `OSError` since it's a broad that encompasses issues related to device communication
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raise OSError(
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f"Can't set {self.fps=} for IntelRealSenseCamera({self.camera_index}). Actual value is {actual_fps}."
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f"Can't set {self.fps=} for IntelRealSenseCamera({self.serial_number}). Actual value is {actual_fps}."
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)
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if self.width is not None and self.width != actual_width:
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raise OSError(
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f"Can't set {self.width=} for IntelRealSenseCamera({self.camera_index}). Actual value is {actual_width}."
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f"Can't set {self.width=} for IntelRealSenseCamera({self.serial_number}). Actual value is {actual_width}."
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)
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if self.height is not None and self.height != actual_height:
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raise OSError(
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f"Can't set {self.height=} for IntelRealSenseCamera({self.camera_index}). Actual value is {actual_height}."
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f"Can't set {self.height=} for IntelRealSenseCamera({self.serial_number}). Actual value is {actual_height}."
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)
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self.fps = round(actual_fps)
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@@ -350,9 +390,14 @@ class IntelRealSenseCamera:
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"""
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if not self.is_connected:
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raise RobotDeviceNotConnectedError(
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f"IntelRealSenseCamera({self.camera_index}) is not connected. Try running `camera.connect()` first."
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f"IntelRealSenseCamera({self.serial_number}) is not connected. Try running `camera.connect()` first."
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)
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if self.mock:
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import tests.mock_cv2 as cv2
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else:
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import cv2
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start_time = time.perf_counter()
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frame = self.camera.wait_for_frames(timeout_ms=5000)
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@@ -360,7 +405,7 @@ class IntelRealSenseCamera:
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color_frame = frame.get_color_frame()
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if not color_frame:
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raise OSError(f"Can't capture color image from IntelRealSenseCamera({self.camera_index}).")
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raise OSError(f"Can't capture color image from IntelRealSenseCamera({self.serial_number}).")
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color_image = np.asanyarray(color_frame.get_data())
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@@ -372,12 +417,7 @@ class IntelRealSenseCamera:
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# IntelRealSense uses RGB format as default (red, green, blue).
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if requested_color_mode == "bgr":
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if self.mock:
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from tests.mock_cv2 import COLOR_RGB2BGR, cvtColor
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else:
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from cv2 import COLOR_RGB2BGR, cvtColor
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color_image = cvtColor(color_image, COLOR_RGB2BGR)
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color_image = cv2.cvtColor(color_image, cv2.COLOR_RGB2BGR)
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h, w, _ = color_image.shape
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if h != self.height or w != self.width:
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@@ -385,6 +425,9 @@ class IntelRealSenseCamera:
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f"Can't capture color image with expected height and width ({self.height} x {self.width}). ({h} x {w}) returned instead."
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)
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if self.rotation is not None:
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color_image = cv2.rotate(color_image, self.rotation)
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# log the number of seconds it took to read the image
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self.logs["delta_timestamp_s"] = time.perf_counter() - start_time
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@@ -394,7 +437,7 @@ class IntelRealSenseCamera:
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if self.use_depth:
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depth_frame = frame.get_depth_frame()
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if not depth_frame:
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raise OSError(f"Can't capture depth image from IntelRealSenseCamera({self.camera_index}).")
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raise OSError(f"Can't capture depth image from IntelRealSenseCamera({self.serial_number}).")
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depth_map = np.asanyarray(depth_frame.get_data())
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@@ -404,6 +447,9 @@ class IntelRealSenseCamera:
|
||||
f"Can't capture depth map with expected height and width ({self.height} x {self.width}). ({h} x {w}) returned instead."
|
||||
)
|
||||
|
||||
if self.rotation is not None:
|
||||
depth_map = cv2.rotate(depth_map, self.rotation)
|
||||
|
||||
return color_image, depth_map
|
||||
else:
|
||||
return color_image
|
||||
@@ -419,7 +465,7 @@ class IntelRealSenseCamera:
|
||||
"""Access the latest color image"""
|
||||
if not self.is_connected:
|
||||
raise RobotDeviceNotConnectedError(
|
||||
f"IntelRealSenseCamera({self.camera_index}) is not connected. Try running `camera.connect()` first."
|
||||
f"IntelRealSenseCamera({self.serial_number}) is not connected. Try running `camera.connect()` first."
|
||||
)
|
||||
|
||||
if self.thread is None:
|
||||
@@ -446,7 +492,7 @@ class IntelRealSenseCamera:
|
||||
def disconnect(self):
|
||||
if not self.is_connected:
|
||||
raise RobotDeviceNotConnectedError(
|
||||
f"IntelRealSenseCamera({self.camera_index}) is not connected. Try running `camera.connect()` first."
|
||||
f"IntelRealSenseCamera({self.serial_number}) is not connected. Try running `camera.connect()` first."
|
||||
)
|
||||
|
||||
if self.thread is not None and self.thread.is_alive():
|
||||
@@ -471,11 +517,11 @@ if __name__ == "__main__":
|
||||
description="Save a few frames using `IntelRealSenseCamera` for all cameras connected to the computer, or a selected subset."
|
||||
)
|
||||
parser.add_argument(
|
||||
"--camera-ids",
|
||||
"--serial-numbers",
|
||||
type=int,
|
||||
nargs="*",
|
||||
default=None,
|
||||
help="List of camera indices used to instantiate the `IntelRealSenseCamera`. If not provided, find and use all available camera indices.",
|
||||
help="List of serial numbers used to instantiate the `IntelRealSenseCamera`. If not provided, find and use all available camera indices.",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--fps",
|
||||
|
||||
@@ -31,29 +31,48 @@ from lerobot.common.utils.utils import capture_timestamp_utc
|
||||
MAX_OPENCV_INDEX = 60
|
||||
|
||||
|
||||
def find_camera_indices(raise_when_empty=False, max_index_search_range=MAX_OPENCV_INDEX, mock=False):
|
||||
def find_cameras(raise_when_empty=False, max_index_search_range=MAX_OPENCV_INDEX, mock=False) -> list[dict]:
|
||||
cameras = []
|
||||
if platform.system() == "Linux":
|
||||
# Linux uses camera ports
|
||||
print("Linux detected. Finding available camera indices through scanning '/dev/video*' ports")
|
||||
possible_camera_ids = []
|
||||
for port in Path("/dev").glob("video*"):
|
||||
camera_idx = int(str(port).replace("/dev/video", ""))
|
||||
possible_camera_ids.append(camera_idx)
|
||||
possible_ports = [str(port) for port in Path("/dev").glob("video*")]
|
||||
ports = _find_cameras(possible_ports, mock=mock)
|
||||
for port in ports:
|
||||
cameras.append(
|
||||
{
|
||||
"port": port,
|
||||
"index": int(port.removeprefix("/dev/video")),
|
||||
}
|
||||
)
|
||||
else:
|
||||
print(
|
||||
"Mac or Windows detected. Finding available camera indices through "
|
||||
f"scanning all indices from 0 to {MAX_OPENCV_INDEX}"
|
||||
)
|
||||
possible_camera_ids = range(max_index_search_range)
|
||||
possible_indices = range(max_index_search_range)
|
||||
indices = _find_cameras(possible_indices, mock=mock)
|
||||
for index in indices:
|
||||
cameras.append(
|
||||
{
|
||||
"port": None,
|
||||
"index": index,
|
||||
}
|
||||
)
|
||||
|
||||
return cameras
|
||||
|
||||
|
||||
def _find_cameras(
|
||||
possible_camera_ids: list[int | str], raise_when_empty=False, mock=False
|
||||
) -> list[int | str]:
|
||||
if mock:
|
||||
from tests.mock_cv2 import VideoCapture
|
||||
import tests.mock_cv2 as cv2
|
||||
else:
|
||||
from cv2 import VideoCapture
|
||||
import cv2
|
||||
|
||||
camera_ids = []
|
||||
for camera_idx in possible_camera_ids:
|
||||
camera = VideoCapture(camera_idx)
|
||||
camera = cv2.VideoCapture(camera_idx)
|
||||
is_open = camera.isOpened()
|
||||
camera.release()
|
||||
|
||||
@@ -70,6 +89,16 @@ def find_camera_indices(raise_when_empty=False, max_index_search_range=MAX_OPENC
|
||||
return camera_ids
|
||||
|
||||
|
||||
def is_valid_unix_path(path: str) -> bool:
|
||||
"""Note: if 'path' points to a symlink, this will return True only if the target exists"""
|
||||
p = Path(path)
|
||||
return p.is_absolute() and p.exists()
|
||||
|
||||
|
||||
def get_camera_index_from_unix_port(port: Path) -> int:
|
||||
return int(str(port.resolve()).removeprefix("/dev/video"))
|
||||
|
||||
|
||||
def save_image(img_array, camera_index, frame_index, images_dir):
|
||||
img = Image.fromarray(img_array)
|
||||
path = images_dir / f"camera_{camera_index:02d}_frame_{frame_index:06d}.png"
|
||||
@@ -79,7 +108,7 @@ def save_image(img_array, camera_index, frame_index, images_dir):
|
||||
|
||||
def save_images_from_cameras(
|
||||
images_dir: Path,
|
||||
camera_ids: list[int] | None = None,
|
||||
camera_ids: list | None = None,
|
||||
fps=None,
|
||||
width=None,
|
||||
height=None,
|
||||
@@ -90,8 +119,9 @@ def save_images_from_cameras(
|
||||
Initializes all the cameras and saves images to the directory. Useful to visually identify the camera
|
||||
associated to a given camera index.
|
||||
"""
|
||||
if camera_ids is None:
|
||||
camera_ids = find_camera_indices(mock=mock)
|
||||
if camera_ids is None or len(camera_ids) == 0:
|
||||
camera_infos = find_cameras(mock=mock)
|
||||
camera_ids = [cam["index"] for cam in camera_infos]
|
||||
|
||||
print("Connecting cameras")
|
||||
cameras = []
|
||||
@@ -114,7 +144,7 @@ def save_images_from_cameras(
|
||||
print(f"Saving images to {images_dir}")
|
||||
frame_index = 0
|
||||
start_time = time.perf_counter()
|
||||
with concurrent.futures.ThreadPoolExecutor(max_workers=4) as executor:
|
||||
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
|
||||
while True:
|
||||
now = time.perf_counter()
|
||||
|
||||
@@ -126,7 +156,7 @@ def save_images_from_cameras(
|
||||
executor.submit(
|
||||
save_image,
|
||||
image,
|
||||
camera.camera_index,
|
||||
camera.index,
|
||||
frame_index,
|
||||
images_dir,
|
||||
)
|
||||
@@ -135,11 +165,11 @@ def save_images_from_cameras(
|
||||
dt_s = time.perf_counter() - now
|
||||
busy_wait(1 / fps - dt_s)
|
||||
|
||||
print(f"Frame: {frame_index:04d}\tLatency (ms): {(time.perf_counter() - now) * 1000:.2f}")
|
||||
|
||||
if time.perf_counter() - start_time > record_time_s:
|
||||
break
|
||||
|
||||
print(f"Frame: {frame_index:04d}\tLatency (ms): {(time.perf_counter() - now) * 1000:.2f}")
|
||||
|
||||
frame_index += 1
|
||||
|
||||
print(f"Images have been saved to {images_dir}")
|
||||
@@ -162,6 +192,7 @@ class OpenCVCameraConfig:
|
||||
width: int | None = None
|
||||
height: int | None = None
|
||||
color_mode: str = "rgb"
|
||||
rotation: int | None = None
|
||||
mock: bool = False
|
||||
|
||||
def __post_init__(self):
|
||||
@@ -170,6 +201,9 @@ class OpenCVCameraConfig:
|
||||
f"`color_mode` is expected to be 'rgb' or 'bgr', but {self.color_mode} is provided."
|
||||
)
|
||||
|
||||
if self.rotation not in [-90, None, 90, 180]:
|
||||
raise ValueError(f"`rotation` must be in [-90, None, 90, 180] (got {self.rotation})")
|
||||
|
||||
|
||||
class OpenCVCamera:
|
||||
"""
|
||||
@@ -210,7 +244,7 @@ class OpenCVCamera:
|
||||
```
|
||||
"""
|
||||
|
||||
def __init__(self, camera_index: int, config: OpenCVCameraConfig | None = None, **kwargs):
|
||||
def __init__(self, camera_index: int | str, config: OpenCVCameraConfig | None = None, **kwargs):
|
||||
if config is None:
|
||||
config = OpenCVCameraConfig()
|
||||
|
||||
@@ -218,6 +252,19 @@ class OpenCVCamera:
|
||||
config = replace(config, **kwargs)
|
||||
|
||||
self.camera_index = camera_index
|
||||
self.port = None
|
||||
|
||||
# Linux uses ports for connecting to cameras
|
||||
if platform.system() == "Linux":
|
||||
if isinstance(self.camera_index, int):
|
||||
self.port = Path(f"/dev/video{self.camera_index}")
|
||||
elif isinstance(self.camera_index, str) and is_valid_unix_path(self.camera_index):
|
||||
self.port = Path(self.camera_index)
|
||||
# Retrieve the camera index from a potentially symlinked path
|
||||
self.camera_index = get_camera_index_from_unix_port(self.port)
|
||||
else:
|
||||
raise ValueError(f"Please check the provided camera_index: {camera_index}")
|
||||
|
||||
self.fps = config.fps
|
||||
self.width = config.width
|
||||
self.height = config.height
|
||||
@@ -231,34 +278,37 @@ class OpenCVCamera:
|
||||
self.color_image = None
|
||||
self.logs = {}
|
||||
|
||||
if self.mock:
|
||||
import tests.mock_cv2 as cv2
|
||||
else:
|
||||
import cv2
|
||||
|
||||
# TODO(aliberts): Do we keep original width/height or do we define them after rotation?
|
||||
self.rotation = None
|
||||
if config.rotation == -90:
|
||||
self.rotation = cv2.ROTATE_90_COUNTERCLOCKWISE
|
||||
elif config.rotation == 90:
|
||||
self.rotation = cv2.ROTATE_90_CLOCKWISE
|
||||
elif config.rotation == 180:
|
||||
self.rotation = cv2.ROTATE_180
|
||||
|
||||
def connect(self):
|
||||
if self.is_connected:
|
||||
raise RobotDeviceAlreadyConnectedError(f"OpenCVCamera({self.camera_index}) is already connected.")
|
||||
|
||||
if self.mock:
|
||||
from tests.mock_cv2 import (
|
||||
CAP_PROP_FPS,
|
||||
CAP_PROP_FRAME_HEIGHT,
|
||||
CAP_PROP_FRAME_WIDTH,
|
||||
VideoCapture,
|
||||
)
|
||||
import tests.mock_cv2 as cv2
|
||||
else:
|
||||
from cv2 import (
|
||||
CAP_PROP_FPS,
|
||||
CAP_PROP_FRAME_HEIGHT,
|
||||
CAP_PROP_FRAME_WIDTH,
|
||||
VideoCapture,
|
||||
setNumThreads,
|
||||
)
|
||||
import cv2
|
||||
|
||||
# Use 1 thread to avoid blocking the main thread. Especially useful during data collection
|
||||
# when other threads are used to save the images.
|
||||
setNumThreads(1)
|
||||
cv2.setNumThreads(1)
|
||||
|
||||
camera_idx = f"/dev/video{self.camera_index}" if platform.system() == "Linux" else self.camera_index
|
||||
# First create a temporary camera trying to access `camera_index`,
|
||||
# and verify it is a valid camera by calling `isOpened`.
|
||||
tmp_camera = VideoCapture(camera_idx)
|
||||
tmp_camera = cv2.VideoCapture(camera_idx)
|
||||
is_camera_open = tmp_camera.isOpened()
|
||||
# Release camera to make it accessible for `find_camera_indices`
|
||||
tmp_camera.release()
|
||||
@@ -268,7 +318,8 @@ class OpenCVCamera:
|
||||
# valid cameras.
|
||||
if not is_camera_open:
|
||||
# Verify that the provided `camera_index` is valid before printing the traceback
|
||||
available_cam_ids = find_camera_indices()
|
||||
cameras_info = find_cameras()
|
||||
available_cam_ids = [cam["index"] for cam in cameras_info]
|
||||
if self.camera_index not in available_cam_ids:
|
||||
raise ValueError(
|
||||
f"`camera_index` is expected to be one of these available cameras {available_cam_ids}, but {self.camera_index} is provided instead. "
|
||||
@@ -280,18 +331,18 @@ class OpenCVCamera:
|
||||
# Secondly, create the camera that will be used downstream.
|
||||
# Note: For some unknown reason, calling `isOpened` blocks the camera which then
|
||||
# needs to be re-created.
|
||||
self.camera = VideoCapture(camera_idx)
|
||||
self.camera = cv2.VideoCapture(camera_idx)
|
||||
|
||||
if self.fps is not None:
|
||||
self.camera.set(CAP_PROP_FPS, self.fps)
|
||||
self.camera.set(cv2.CAP_PROP_FPS, self.fps)
|
||||
if self.width is not None:
|
||||
self.camera.set(CAP_PROP_FRAME_WIDTH, self.width)
|
||||
self.camera.set(cv2.CAP_PROP_FRAME_WIDTH, self.width)
|
||||
if self.height is not None:
|
||||
self.camera.set(CAP_PROP_FRAME_HEIGHT, self.height)
|
||||
self.camera.set(cv2.CAP_PROP_FRAME_HEIGHT, self.height)
|
||||
|
||||
actual_fps = self.camera.get(CAP_PROP_FPS)
|
||||
actual_width = self.camera.get(CAP_PROP_FRAME_WIDTH)
|
||||
actual_height = self.camera.get(CAP_PROP_FRAME_HEIGHT)
|
||||
actual_fps = self.camera.get(cv2.CAP_PROP_FPS)
|
||||
actual_width = self.camera.get(cv2.CAP_PROP_FRAME_WIDTH)
|
||||
actual_height = self.camera.get(cv2.CAP_PROP_FRAME_HEIGHT)
|
||||
|
||||
# Using `math.isclose` since actual fps can be a float (e.g. 29.9 instead of 30)
|
||||
if self.fps is not None and not math.isclose(self.fps, actual_fps, rel_tol=1e-3):
|
||||
@@ -299,11 +350,11 @@ class OpenCVCamera:
|
||||
raise OSError(
|
||||
f"Can't set {self.fps=} for OpenCVCamera({self.camera_index}). Actual value is {actual_fps}."
|
||||
)
|
||||
if self.width is not None and self.width != actual_width:
|
||||
if self.width is not None and not math.isclose(self.width, actual_width, rel_tol=1e-3):
|
||||
raise OSError(
|
||||
f"Can't set {self.width=} for OpenCVCamera({self.camera_index}). Actual value is {actual_width}."
|
||||
)
|
||||
if self.height is not None and self.height != actual_height:
|
||||
if self.height is not None and not math.isclose(self.height, actual_height, rel_tol=1e-3):
|
||||
raise OSError(
|
||||
f"Can't set {self.height=} for OpenCVCamera({self.camera_index}). Actual value is {actual_height}."
|
||||
)
|
||||
@@ -345,11 +396,11 @@ class OpenCVCamera:
|
||||
# so we convert the image color from BGR to RGB.
|
||||
if requested_color_mode == "rgb":
|
||||
if self.mock:
|
||||
from tests.mock_cv2 import COLOR_BGR2RGB, cvtColor
|
||||
import tests.mock_cv2 as cv2
|
||||
else:
|
||||
from cv2 import COLOR_BGR2RGB, cvtColor
|
||||
import cv2
|
||||
|
||||
color_image = cvtColor(color_image, COLOR_BGR2RGB)
|
||||
color_image = cv2.cvtColor(color_image, cv2.COLOR_BGR2RGB)
|
||||
|
||||
h, w, _ = color_image.shape
|
||||
if h != self.height or w != self.width:
|
||||
@@ -357,6 +408,9 @@ class OpenCVCamera:
|
||||
f"Can't capture color image with expected height and width ({self.height} x {self.width}). ({h} x {w}) returned instead."
|
||||
)
|
||||
|
||||
if self.rotation is not None:
|
||||
color_image = cv2.rotate(color_image, self.rotation)
|
||||
|
||||
# log the number of seconds it took to read the image
|
||||
self.logs["delta_timestamp_s"] = time.perf_counter() - start_time
|
||||
|
||||
@@ -455,7 +509,7 @@ if __name__ == "__main__":
|
||||
parser.add_argument(
|
||||
"--record-time-s",
|
||||
type=float,
|
||||
default=2.0,
|
||||
default=4.0,
|
||||
help="Set the number of seconds used to record the frames. By default, 2 seconds.",
|
||||
)
|
||||
args = parser.parse_args()
|
||||
|
||||
@@ -1,55 +1,8 @@
|
||||
from pathlib import Path
|
||||
from typing import Protocol
|
||||
|
||||
import cv2
|
||||
import einops
|
||||
import numpy as np
|
||||
|
||||
|
||||
def write_shape_on_image_inplace(image):
|
||||
height, width = image.shape[:2]
|
||||
text = f"Width: {width} Height: {height}"
|
||||
|
||||
# Define the font, scale, color, and thickness
|
||||
font = cv2.FONT_HERSHEY_SIMPLEX
|
||||
font_scale = 1
|
||||
color = (255, 0, 0) # Blue in BGR
|
||||
thickness = 2
|
||||
|
||||
position = (10, height - 10) # 10 pixels from the bottom-left corner
|
||||
cv2.putText(image, text, position, font, font_scale, color, thickness)
|
||||
|
||||
|
||||
def save_color_image(image, path, write_shape=False):
|
||||
path = Path(path)
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
if write_shape:
|
||||
write_shape_on_image_inplace(image)
|
||||
cv2.imwrite(str(path), image)
|
||||
|
||||
|
||||
def save_depth_image(depth, path, write_shape=False):
|
||||
path = Path(path)
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Apply colormap on depth image (image must be converted to 8-bit per pixel first)
|
||||
depth_image = cv2.applyColorMap(cv2.convertScaleAbs(depth, alpha=0.03), cv2.COLORMAP_JET)
|
||||
|
||||
if write_shape:
|
||||
write_shape_on_image_inplace(depth_image)
|
||||
cv2.imwrite(str(path), depth_image)
|
||||
|
||||
|
||||
def convert_torch_image_to_cv2(tensor, rgb_to_bgr=True):
|
||||
assert tensor.ndim == 3
|
||||
c, h, w = tensor.shape
|
||||
assert c < h and c < w
|
||||
color_image = einops.rearrange(tensor, "c h w -> h w c").numpy()
|
||||
if rgb_to_bgr:
|
||||
color_image = cv2.cvtColor(color_image, cv2.COLOR_RGB2BGR)
|
||||
return color_image
|
||||
|
||||
|
||||
# Defines a camera type
|
||||
class Camera(Protocol):
|
||||
def connect(self): ...
|
||||
|
||||
@@ -159,30 +159,25 @@ def convert_to_bytes(value, bytes, mock=False):
|
||||
if mock:
|
||||
return value
|
||||
|
||||
from dynamixel_sdk import (
|
||||
DXL_HIBYTE,
|
||||
DXL_HIWORD,
|
||||
DXL_LOBYTE,
|
||||
DXL_LOWORD,
|
||||
)
|
||||
import dynamixel_sdk as dxl
|
||||
|
||||
# Note: No need to convert back into unsigned int, since this byte preprocessing
|
||||
# already handles it for us.
|
||||
if bytes == 1:
|
||||
data = [
|
||||
DXL_LOBYTE(DXL_LOWORD(value)),
|
||||
dxl.DXL_LOBYTE(dxl.DXL_LOWORD(value)),
|
||||
]
|
||||
elif bytes == 2:
|
||||
data = [
|
||||
DXL_LOBYTE(DXL_LOWORD(value)),
|
||||
DXL_HIBYTE(DXL_LOWORD(value)),
|
||||
dxl.DXL_LOBYTE(dxl.DXL_LOWORD(value)),
|
||||
dxl.DXL_HIBYTE(dxl.DXL_LOWORD(value)),
|
||||
]
|
||||
elif bytes == 4:
|
||||
data = [
|
||||
DXL_LOBYTE(DXL_LOWORD(value)),
|
||||
DXL_HIBYTE(DXL_LOWORD(value)),
|
||||
DXL_LOBYTE(DXL_HIWORD(value)),
|
||||
DXL_HIBYTE(DXL_HIWORD(value)),
|
||||
dxl.DXL_LOBYTE(dxl.DXL_LOWORD(value)),
|
||||
dxl.DXL_HIBYTE(dxl.DXL_LOWORD(value)),
|
||||
dxl.DXL_LOBYTE(dxl.DXL_HIWORD(value)),
|
||||
dxl.DXL_HIBYTE(dxl.DXL_HIWORD(value)),
|
||||
]
|
||||
else:
|
||||
raise NotImplementedError(
|
||||
@@ -361,12 +356,12 @@ class DynamixelMotorsBus:
|
||||
)
|
||||
|
||||
if self.mock:
|
||||
from tests.mock_dynamixel_sdk import PacketHandler, PortHandler
|
||||
import tests.mock_dynamixel_sdk as dxl
|
||||
else:
|
||||
from dynamixel_sdk import PacketHandler, PortHandler
|
||||
import dynamixel_sdk as dxl
|
||||
|
||||
self.port_handler = PortHandler(self.port)
|
||||
self.packet_handler = PacketHandler(PROTOCOL_VERSION)
|
||||
self.port_handler = dxl.PortHandler(self.port)
|
||||
self.packet_handler = dxl.PacketHandler(PROTOCOL_VERSION)
|
||||
|
||||
try:
|
||||
if not self.port_handler.openPort():
|
||||
@@ -399,12 +394,12 @@ class DynamixelMotorsBus:
|
||||
|
||||
def reconnect(self):
|
||||
if self.mock:
|
||||
from tests.mock_dynamixel_sdk import PacketHandler, PortHandler
|
||||
import tests.mock_dynamixel_sdk as dxl
|
||||
else:
|
||||
from dynamixel_sdk import PacketHandler, PortHandler
|
||||
import dynamixel_sdk as dxl
|
||||
|
||||
self.port_handler = PortHandler(self.port)
|
||||
self.packet_handler = PacketHandler(PROTOCOL_VERSION)
|
||||
self.port_handler = dxl.PortHandler(self.port)
|
||||
self.packet_handler = dxl.PacketHandler(PROTOCOL_VERSION)
|
||||
|
||||
if not self.port_handler.openPort():
|
||||
raise OSError(f"Failed to open port '{self.port}'.")
|
||||
@@ -795,9 +790,9 @@ class DynamixelMotorsBus:
|
||||
|
||||
def _read_with_motor_ids(self, motor_models, motor_ids, data_name):
|
||||
if self.mock:
|
||||
from tests.mock_dynamixel_sdk import COMM_SUCCESS, GroupSyncRead
|
||||
import tests.mock_dynamixel_sdk as dxl
|
||||
else:
|
||||
from dynamixel_sdk import COMM_SUCCESS, GroupSyncRead
|
||||
import dynamixel_sdk as dxl
|
||||
|
||||
return_list = True
|
||||
if not isinstance(motor_ids, list):
|
||||
@@ -806,12 +801,12 @@ class DynamixelMotorsBus:
|
||||
|
||||
assert_same_address(self.model_ctrl_table, self.motor_models, data_name)
|
||||
addr, bytes = self.model_ctrl_table[motor_models[0]][data_name]
|
||||
group = GroupSyncRead(self.port_handler, self.packet_handler, addr, bytes)
|
||||
group = dxl.GroupSyncRead(self.port_handler, self.packet_handler, addr, bytes)
|
||||
for idx in motor_ids:
|
||||
group.addParam(idx)
|
||||
|
||||
comm = group.txRxPacket()
|
||||
if comm != COMM_SUCCESS:
|
||||
if comm != dxl.COMM_SUCCESS:
|
||||
raise ConnectionError(
|
||||
f"Read failed due to communication error on port {self.port_handler.port_name} for indices {motor_ids}: "
|
||||
f"{self.packet_handler.getTxRxResult(comm)}"
|
||||
@@ -836,9 +831,9 @@ class DynamixelMotorsBus:
|
||||
start_time = time.perf_counter()
|
||||
|
||||
if self.mock:
|
||||
from tests.mock_dynamixel_sdk import COMM_SUCCESS, GroupSyncRead
|
||||
import tests.mock_dynamixel_sdk as dxl
|
||||
else:
|
||||
from dynamixel_sdk import COMM_SUCCESS, GroupSyncRead
|
||||
import dynamixel_sdk as dxl
|
||||
|
||||
if motor_names is None:
|
||||
motor_names = self.motor_names
|
||||
@@ -859,16 +854,18 @@ class DynamixelMotorsBus:
|
||||
|
||||
if data_name not in self.group_readers:
|
||||
# create new group reader
|
||||
self.group_readers[group_key] = GroupSyncRead(self.port_handler, self.packet_handler, addr, bytes)
|
||||
self.group_readers[group_key] = dxl.GroupSyncRead(
|
||||
self.port_handler, self.packet_handler, addr, bytes
|
||||
)
|
||||
for idx in motor_ids:
|
||||
self.group_readers[group_key].addParam(idx)
|
||||
|
||||
for _ in range(NUM_READ_RETRY):
|
||||
comm = self.group_readers[group_key].txRxPacket()
|
||||
if comm == COMM_SUCCESS:
|
||||
if comm == dxl.COMM_SUCCESS:
|
||||
break
|
||||
|
||||
if comm != COMM_SUCCESS:
|
||||
if comm != dxl.COMM_SUCCESS:
|
||||
raise ConnectionError(
|
||||
f"Read failed due to communication error on port {self.port} for group_key {group_key}: "
|
||||
f"{self.packet_handler.getTxRxResult(comm)}"
|
||||
@@ -900,9 +897,9 @@ class DynamixelMotorsBus:
|
||||
|
||||
def _write_with_motor_ids(self, motor_models, motor_ids, data_name, values):
|
||||
if self.mock:
|
||||
from tests.mock_dynamixel_sdk import COMM_SUCCESS, GroupSyncWrite
|
||||
import tests.mock_dynamixel_sdk as dxl
|
||||
else:
|
||||
from dynamixel_sdk import COMM_SUCCESS, GroupSyncWrite
|
||||
import dynamixel_sdk as dxl
|
||||
|
||||
if not isinstance(motor_ids, list):
|
||||
motor_ids = [motor_ids]
|
||||
@@ -911,13 +908,13 @@ class DynamixelMotorsBus:
|
||||
|
||||
assert_same_address(self.model_ctrl_table, motor_models, data_name)
|
||||
addr, bytes = self.model_ctrl_table[motor_models[0]][data_name]
|
||||
group = GroupSyncWrite(self.port_handler, self.packet_handler, addr, bytes)
|
||||
group = dxl.GroupSyncWrite(self.port_handler, self.packet_handler, addr, bytes)
|
||||
for idx, value in zip(motor_ids, values, strict=True):
|
||||
data = convert_to_bytes(value, bytes, self.mock)
|
||||
group.addParam(idx, data)
|
||||
|
||||
comm = group.txPacket()
|
||||
if comm != COMM_SUCCESS:
|
||||
if comm != dxl.COMM_SUCCESS:
|
||||
raise ConnectionError(
|
||||
f"Write failed due to communication error on port {self.port_handler.port_name} for indices {motor_ids}: "
|
||||
f"{self.packet_handler.getTxRxResult(comm)}"
|
||||
@@ -932,9 +929,9 @@ class DynamixelMotorsBus:
|
||||
start_time = time.perf_counter()
|
||||
|
||||
if self.mock:
|
||||
from tests.mock_dynamixel_sdk import COMM_SUCCESS, GroupSyncWrite
|
||||
import tests.mock_dynamixel_sdk as dxl
|
||||
else:
|
||||
from dynamixel_sdk import COMM_SUCCESS, GroupSyncWrite
|
||||
import dynamixel_sdk as dxl
|
||||
|
||||
if motor_names is None:
|
||||
motor_names = self.motor_names
|
||||
@@ -965,7 +962,7 @@ class DynamixelMotorsBus:
|
||||
|
||||
init_group = data_name not in self.group_readers
|
||||
if init_group:
|
||||
self.group_writers[group_key] = GroupSyncWrite(
|
||||
self.group_writers[group_key] = dxl.GroupSyncWrite(
|
||||
self.port_handler, self.packet_handler, addr, bytes
|
||||
)
|
||||
|
||||
@@ -977,7 +974,7 @@ class DynamixelMotorsBus:
|
||||
self.group_writers[group_key].changeParam(idx, data)
|
||||
|
||||
comm = self.group_writers[group_key].txPacket()
|
||||
if comm != COMM_SUCCESS:
|
||||
if comm != dxl.COMM_SUCCESS:
|
||||
raise ConnectionError(
|
||||
f"Write failed due to communication error on port {self.port} for group_key {group_key}: "
|
||||
f"{self.packet_handler.getTxRxResult(comm)}"
|
||||
|
||||
@@ -1,7 +1,9 @@
|
||||
import hydra
|
||||
from omegaconf import DictConfig
|
||||
|
||||
from lerobot.common.robot_devices.robots.utils import Robot
|
||||
|
||||
def make_robot(cfg: DictConfig):
|
||||
|
||||
def make_robot(cfg: DictConfig) -> Robot:
|
||||
robot = hydra.utils.instantiate(cfg)
|
||||
return robot
|
||||
|
||||
@@ -681,6 +681,10 @@ class ManipulatorRobot:
|
||||
|
||||
return torch.cat(action_sent)
|
||||
|
||||
def print_logs(self):
|
||||
pass
|
||||
# TODO(aliberts): move robot-specific logs logic here
|
||||
|
||||
def disconnect(self):
|
||||
if not self.is_connected:
|
||||
raise RobotDeviceNotConnectedError(
|
||||
|
||||
216
lerobot/common/robot_devices/robots/stretch.py
Normal file
216
lerobot/common/robot_devices/robots/stretch.py
Normal file
@@ -0,0 +1,216 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
import time
|
||||
from dataclasses import dataclass, field, replace
|
||||
|
||||
import torch
|
||||
from stretch_body.gamepad_teleop import GamePadTeleop
|
||||
from stretch_body.robot import Robot as StretchAPI
|
||||
from stretch_body.robot_params import RobotParams
|
||||
|
||||
from lerobot.common.robot_devices.cameras.utils import Camera
|
||||
|
||||
|
||||
@dataclass
|
||||
class StretchRobotConfig:
|
||||
robot_type: str | None = "stretch"
|
||||
cameras: dict[str, Camera] = field(default_factory=lambda: {})
|
||||
# TODO(aliberts): add feature with max_relative target
|
||||
# TODO(aliberts): add comment on max_relative target
|
||||
max_relative_target: list[float] | float | None = None
|
||||
|
||||
|
||||
class StretchRobot(StretchAPI):
|
||||
"""Wrapper of stretch_body.robot.Robot"""
|
||||
|
||||
def __init__(self, config: StretchRobotConfig | None = None, **kwargs):
|
||||
super().__init__()
|
||||
if config is None:
|
||||
config = StretchRobotConfig()
|
||||
# Overwrite config arguments using kwargs
|
||||
self.config = replace(config, **kwargs)
|
||||
|
||||
self.robot_type = self.config.robot_type
|
||||
self.cameras = self.config.cameras
|
||||
self.is_connected = False
|
||||
self.teleop = None
|
||||
self.logs = {}
|
||||
|
||||
# TODO(aliberts): test this
|
||||
RobotParams.set_logging_level("WARNING")
|
||||
RobotParams.set_logging_formatter("brief_console_formatter")
|
||||
|
||||
self.state_keys = None
|
||||
self.action_keys = None
|
||||
|
||||
def connect(self) -> None:
|
||||
self.is_connected = self.startup()
|
||||
if not self.is_connected:
|
||||
print("Another process is already using Stretch. Try running 'stretch_free_robot_process.py'")
|
||||
raise ConnectionError()
|
||||
|
||||
for name in self.cameras:
|
||||
self.cameras[name].connect()
|
||||
self.is_connected = self.is_connected and self.cameras[name].is_connected
|
||||
|
||||
if not self.is_connected:
|
||||
print("Could not connect to the cameras, check that all cameras are plugged-in.")
|
||||
raise ConnectionError()
|
||||
|
||||
self.run_calibration()
|
||||
|
||||
def run_calibration(self) -> None:
|
||||
if not self.is_homed():
|
||||
self.home()
|
||||
|
||||
def teleop_step(
|
||||
self, record_data=False
|
||||
) -> None | tuple[dict[str, torch.Tensor], dict[str, torch.Tensor]]:
|
||||
# TODO(aliberts): return ndarrays instead of torch.Tensors
|
||||
if not self.is_connected:
|
||||
raise ConnectionError()
|
||||
|
||||
if self.teleop is None:
|
||||
self.teleop = GamePadTeleop(robot_instance=False)
|
||||
self.teleop.startup(robot=self)
|
||||
|
||||
before_read_t = time.perf_counter()
|
||||
state = self.get_state()
|
||||
action = self.teleop.gamepad_controller.get_state()
|
||||
self.logs["read_pos_dt_s"] = time.perf_counter() - before_read_t
|
||||
|
||||
before_write_t = time.perf_counter()
|
||||
self.teleop.do_motion(robot=self)
|
||||
self.push_command()
|
||||
self.logs["write_pos_dt_s"] = time.perf_counter() - before_write_t
|
||||
|
||||
if self.state_keys is None:
|
||||
self.state_keys = list(state)
|
||||
|
||||
if not record_data:
|
||||
return
|
||||
|
||||
state = torch.as_tensor(list(state.values()))
|
||||
action = torch.as_tensor(list(action.values()))
|
||||
|
||||
# Capture images from cameras
|
||||
images = {}
|
||||
for name in self.cameras:
|
||||
before_camread_t = time.perf_counter()
|
||||
images[name] = self.cameras[name].async_read()
|
||||
images[name] = torch.from_numpy(images[name])
|
||||
self.logs[f"read_camera_{name}_dt_s"] = self.cameras[name].logs["delta_timestamp_s"]
|
||||
self.logs[f"async_read_camera_{name}_dt_s"] = time.perf_counter() - before_camread_t
|
||||
|
||||
# Populate output dictionnaries
|
||||
obs_dict, action_dict = {}, {}
|
||||
obs_dict["observation.state"] = state
|
||||
action_dict["action"] = action
|
||||
for name in self.cameras:
|
||||
obs_dict[f"observation.images.{name}"] = images[name]
|
||||
|
||||
return obs_dict, action_dict
|
||||
|
||||
def get_state(self) -> dict:
|
||||
status = self.get_status()
|
||||
return {
|
||||
"head_pan.pos": status["head"]["head_pan"]["pos"],
|
||||
"head_tilt.pos": status["head"]["head_tilt"]["pos"],
|
||||
"lift.pos": status["lift"]["pos"],
|
||||
"arm.pos": status["arm"]["pos"],
|
||||
"wrist_pitch.pos": status["end_of_arm"]["wrist_pitch"]["pos"],
|
||||
"wrist_roll.pos": status["end_of_arm"]["wrist_roll"]["pos"],
|
||||
"wrist_yaw.pos": status["end_of_arm"]["wrist_yaw"]["pos"],
|
||||
"gripper.pos": status["end_of_arm"]["stretch_gripper"]["pos"],
|
||||
"base_x.vel": status["base"]["x_vel"],
|
||||
"base_y.vel": status["base"]["y_vel"],
|
||||
"base_theta.vel": status["base"]["theta_vel"],
|
||||
}
|
||||
|
||||
def capture_observation(self) -> dict:
|
||||
# TODO(aliberts): return ndarrays instead of torch.Tensors
|
||||
before_read_t = time.perf_counter()
|
||||
state = self.get_state()
|
||||
self.logs["read_pos_dt_s"] = time.perf_counter() - before_read_t
|
||||
|
||||
if self.state_keys is None:
|
||||
self.state_keys = list(state)
|
||||
|
||||
state = torch.as_tensor(list(state.values()))
|
||||
|
||||
# Capture images from cameras
|
||||
images = {}
|
||||
for name in self.cameras:
|
||||
before_camread_t = time.perf_counter()
|
||||
images[name] = self.cameras[name].async_read()
|
||||
images[name] = torch.from_numpy(images[name])
|
||||
self.logs[f"read_camera_{name}_dt_s"] = self.cameras[name].logs["delta_timestamp_s"]
|
||||
self.logs[f"async_read_camera_{name}_dt_s"] = time.perf_counter() - before_camread_t
|
||||
|
||||
# Populate output dictionnaries
|
||||
obs_dict = {}
|
||||
obs_dict["observation.state"] = state
|
||||
for name in self.cameras:
|
||||
obs_dict[f"observation.images.{name}"] = images[name]
|
||||
|
||||
return obs_dict
|
||||
|
||||
def send_action(self, action: torch.Tensor) -> torch.Tensor:
|
||||
# TODO(aliberts): return ndarrays instead of torch.Tensors
|
||||
if not self.is_connected:
|
||||
raise ConnectionError()
|
||||
|
||||
if self.teleop is None:
|
||||
self.teleop = GamePadTeleop(robot_instance=False)
|
||||
self.teleop.startup(robot=self)
|
||||
|
||||
if self.action_keys is None:
|
||||
dummy_action = self.teleop.gamepad_controller.get_state()
|
||||
self.action_keys = list(dummy_action.keys())
|
||||
|
||||
action_dict = dict(zip(self.action_keys, action.tolist(), strict=True))
|
||||
|
||||
before_write_t = time.perf_counter()
|
||||
self.teleop.do_motion(state=action_dict, robot=self)
|
||||
self.push_command()
|
||||
self.logs["write_pos_dt_s"] = time.perf_counter() - before_write_t
|
||||
|
||||
# TODO(aliberts): return action_sent when motion is limited
|
||||
return action
|
||||
|
||||
def print_logs(self) -> None:
|
||||
pass
|
||||
# TODO(aliberts): move robot-specific logs logic here
|
||||
|
||||
def teleop_safety_stop(self) -> None:
|
||||
if self.teleop is not None:
|
||||
self.teleop._safety_stop(robot=self)
|
||||
|
||||
def disconnect(self) -> None:
|
||||
self.stop()
|
||||
if self.teleop is not None:
|
||||
self.teleop.gamepad_controller.stop()
|
||||
self.teleop.stop()
|
||||
|
||||
if len(self.cameras) > 0:
|
||||
for cam in self.cameras.values():
|
||||
cam.disconnect()
|
||||
|
||||
self.is_connected = False
|
||||
|
||||
def __del__(self):
|
||||
self.disconnect()
|
||||
@@ -9,8 +9,12 @@ def get_arm_id(name, arm_type):
|
||||
|
||||
|
||||
class Robot(Protocol):
|
||||
def init_teleop(self): ...
|
||||
# TODO(rcadene, aliberts): Add unit test checking the protocol is implemented in the corresponding classes
|
||||
robot_type: str
|
||||
|
||||
def connect(self): ...
|
||||
def run_calibration(self): ...
|
||||
def teleop_step(self, record_data=False): ...
|
||||
def capture_observation(self): ...
|
||||
def send_action(self, action): ...
|
||||
def disconnect(self): ...
|
||||
|
||||
@@ -16,6 +16,20 @@ def busy_wait(seconds):
|
||||
time.sleep(seconds)
|
||||
|
||||
|
||||
def safe_disconnect(func):
|
||||
# TODO(aliberts): Allow to pass custom exceptions
|
||||
# (e.g. ThreadServiceExit, KeyboardInterrupt, SystemExit, UnpluggedError, DynamixelCommError)
|
||||
def wrapper(robot, *args, **kwargs):
|
||||
try:
|
||||
return func(robot, *args, **kwargs)
|
||||
except Exception as e:
|
||||
if robot.is_connected:
|
||||
robot.disconnect()
|
||||
raise e
|
||||
|
||||
return wrapper
|
||||
|
||||
|
||||
class RobotDeviceNotConnectedError(Exception):
|
||||
"""Exception raised when the robot device is not connected."""
|
||||
|
||||
|
||||
Reference in New Issue
Block a user